Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images
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[1] Peijun Du,et al. A review of supervised object-based land-cover image classification , 2017 .
[2] Clement Atzberger,et al. Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil , 2015, Remote. Sens..
[3] Guogang Wang,et al. Spatio-temporal dynamics and optimal development scale of cotton industry in Xinjiang: Spatio-temporal dynamics and optimal development scale of cotton industry in Xinjiang , 2011 .
[4] Timothy A. Warner,et al. Does spatial resolution matter? A multi-scale comparison of object-based and pixel-based methods for detecting change associated with gas well drilling operations , 2013 .
[5] Development of the homogenized monthly precipitation series during 1910–2014 and its changes in Hunan Province, China , 2017 .
[6] Liangpei Zhang,et al. Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[7] Rongrong Li,et al. Investigating Low-Carbon Agriculture: Case Study of China’s Henan Province , 2017 .
[8] Mingquan Wu,et al. Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring , 2015, Remote. Sens..
[9] O. Csillik,et al. Automated parameterisation for multi-scale image segmentation on multiple layers , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[10] Xiangzheng Deng,et al. Impacts of land use and land cover changes on surface energy and water balance in the Heihe River Basin of China, 2000–2010 , 2015 .
[11] I. Hegazy,et al. Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt , 2015 .
[12] J. Fry,et al. Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods , 2009 .
[13] E. Gomes,et al. Assessing the Effect of Spatial Proximity on Urban Growth , 2018 .
[14] M. Jafari,et al. Simulating soil organic carbon stock as affected by land cover change and climate change, Hyrcanian forests (northern Iran). , 2017, The Science of the total environment.
[15] Wenhui Kuang,et al. Examining the influence of the implementation of Major Function-oriented Zones on built-up area expansion in China , 2017, Journal of Geographical Sciences.
[16] Dongmei Chen,et al. Change detection from remotely sensed images: From pixel-based to object-based approaches , 2013 .
[17] Liping Di,et al. Object-Based Plastic-Mulched Landcover Extraction Using Integrated Sentinel-1 and Sentinel-2 Data , 2018, Remote. Sens..
[18] Iryna Dronova,et al. Object-Based Image Analysis in Wetland Research: A Review , 2015, Remote. Sens..
[19] Thomas Blaschke,et al. Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[20] Gherardo Chirici,et al. A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data , 2016 .
[21] Guy Engelen,et al. Screening models for integrated environmental planning – A feasibility study for Flanders , 2017 .
[22] F. Achard,et al. Object‐oriented and textural image classification of the Siberia GBFM radar mosaic combined with MERIS imagery for continental scale land cover mapping , 2007 .
[23] R. Wynne,et al. Identifying Revegetated Mines as Disturbance/Recovery Trajectories Using an Interannual Landsat Chronosequence , 2012 .
[24] Roger White,et al. Integrated modelling of population, employment and land-use change with a multiple activity-based variable grid cellular automaton , 2012, Int. J. Geogr. Inf. Sci..
[25] Wenzhong Shi,et al. An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images , 2016, J. Sensors.
[26] Praveen Kumar Mallupattu,et al. Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India , 2013, TheScientificWorldJournal.
[27] Sory I. Toure,et al. An object-based temporal inversion approach to urban land use change analysis , 2016 .
[28] Yu Chen,et al. Enhancing Land Cover Mapping through Integration of Pixel-Based and Object-Based Classifications from Remotely Sensed Imagery , 2018, Remote. Sens..
[29] Suming Jin,et al. A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. , 2017 .
[30] Sabine Vanhuysse,et al. Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application , 2018 .
[31] Abderrahim Nemmaoui,et al. Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain) , 2018, Remote. Sens..
[32] Lawrence S. Bernstein,et al. Quick atmospheric correction code: algorithm description and recent upgrades , 2012 .